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2020 – today
- 2022
[j2]Salma Dammak, Faiza Ghozzi, Asma Sellami, Faïez Gargouri
:
Managing vulnerabilities during the development of a secure ETL processes. Int. J. Inf. Comput. Secur. 18(1/2): 75-104 (2022)- [c6]Salma Dammak, Matthew J. Cecchini, Aaron D. Ward:
Using deep learning to predict tumor mutational burden in lung squamous cell carcinoma from 20 centers. Digital and Computational Pathology 2022 - 2020
- [c5]Salma Dammak, Matthew J. Cecchini, Katherina Baranova, David Palma, Keith Kwan, Aaron D. Ward:
Prediction of tumour mutational burden of squamous cell carcinoma using histopathology images of surgical specimens. Digital Pathology 2020: 1132005
2010 – 2019
- 2019
- [j1]Salma Dammak, Faiza Ghozzi, Faïez Gargouri:
ETL Processes Security Modeling. Int. J. Inf. Syst. Model. Des. 10(1): 60-84 (2019) - 2018
- [c4]Salma Dammak, David Palma, Sarah A. Mattonen, Suresh Senan, Aaron D. Ward:
Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design. Computer-Aided Diagnosis 2018: 1057503 - 2017
- [c3]Salma Dammak, Faiza Ghozzi, Faïez Gargouri:
Matching Procedure for NVD Vulnerabilities to Secure ETL Processes Steps. AICCSA 2017: 1322-1329 - 2016
- [c2]Salma Dammak, Faiza Ghozzi Jedidi, Faïez Gargouri:
A GQVM approach to secure WeBhouse ETL processes development. AICCSA 2016: 1-8 - 2015
- [c1]Salma Dammak, Faiza Ghozzi Jedidi, Faïez Gargouri:
Quantifying Security in Web ETL Processes. CRiSIS 2015: 160-173
Coauthor Index
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